Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 801–810 of 3012 papers

Title	Date	Tasks	Status
Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator	May 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Scheduled Sampling for Neural Transducer-based ASR	May 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition	May 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition	May 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Incorporating Ultrasound Tongue Images for Audio-Visual Speech Enhancement through Knowledge Distillation	May 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Iteratively Improving Speech Recognition and Voice Conversion	May 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person	May 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding	May 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications	May 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR	May 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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All datasets LRS2 RealMAN Sagalee HUI speech corpus LRS3-TED M-AILabs speech dataset The Spoken Wikipedia Corpora Voxforge German VoxPopuli

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TM-CTC	Test WER	10.1	—	Unverified
2	TM-seq2seq	Test WER	9.7	—	Unverified
3	CTC/attention	Test WER	8.2	—	Unverified
4	LF-MMI TDNN	Test WER	6.7	—	Unverified
5	Whisper-LLaMA	Test WER	6.6	—	Unverified
6	End2end Conformer	Test WER	3.9	—	Unverified
7	End2end Conformer	Test WER	3.7	—	Unverified
8	MoCo + wav2vec (w/o extLM)	Test WER	2.7	—	Unverified
9	CTC/Attention	Test WER	1.5	—	Unverified
10	Whisper	Test WER	1.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SpatialNet	CER	14.5	—	Unverified
2	CleanMel-L-mask	CER	14.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer	Test WER	15.32	—	Unverified
2	Whisper-largev3-finetuned	Test WER	10.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	1.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DistillAV	WER	1.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	4.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	8.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	3.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer (German)	WER (%)	8.98	—	Unverified